RRepoGEO

REPOGEO REPORT · LITE

NVIDIA/cosmos

Default branch main · commit 1b87f59f · scanned 6/5/2026, 11:21:49 PM

GitHub: 9,401 stars · 601 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface NVIDIA/cosmos, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise, descriptive tagline to the README's introduction

    Why:

    CURRENT
    # Cosmos

<p align="center">
  
</p>

<p align="center">
  <a href="https://www.nvidia.com/en-us/ai/cosmos/">Website</a> |
  <a href="https://github.com/NVIDIA/cosmos-framework">Framework</a>
</p>
    COPY-PASTE FIX
    # Cosmos

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

<p align="center">
  
</p>

<p align="center">
  <a href="https://www.nvidia.com/en-us/ai/cosmos/">Website</a> |
  <a href="https://github.com/NVIDIA/cosmos-framework">Framework</a>
</p>
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, perhaps under 'Introduction' or a new 'License' section, stating: 'This project is licensed under [Specify the actual license(s) here, e.g., 'the NVIDIA Cosmos License and Apache 2.0 License for specific components']. Please refer to the `LICENSE` file for full details.'

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface NVIDIA/cosmos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Isaac Sim
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Isaac Sim · recommended 1×
  2. Gazebo · recommended 1×
  3. CoppeliaSim · recommended 1×
  4. PyBullet · recommended 1×
  5. MuJoCo · recommended 1×
  • CATEGORY QUERY
    What open platforms exist for developing physical AI world models for robotics?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. Gazebo
    3. CoppeliaSim
    4. PyBullet
    5. MuJoCo
    6. Webots
    7. Isaac Gym

    AI recommended 7 alternatives but never named NVIDIA/cosmos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for building generative and reasoning AI for autonomous physical systems.
    you: not recommended
    AI recommended (in order):
    1. ROS (Robot Operating System)
    2. PyTorch
    3. TensorFlow (with Keras)
    4. OpenAI Gym/Farama Foundation Gymnasium
    5. Isaac Sim (NVIDIA Isaac Robotics Platform)
    6. DeepMind's Acme
    7. OpenVINO Toolkit (Intel)

    AI recommended 7 alternatives but never named NVIDIA/cosmos. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of NVIDIA/cosmos?
    pass
    AI named NVIDIA/cosmos explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts NVIDIA/cosmos in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NVIDIA/cosmos explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo NVIDIA/cosmos solve, and who is the primary audience?
    pass
    AI named NVIDIA/cosmos explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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NVIDIA/cosmos — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite